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Record W7019749813

HMCS <em>Prince Robert</em>: The Career of an Armed Merchant Cruiser

2012· article· en· W7019749813 on OpenAlexaffabout

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Wars: History, Literature, and Impact
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsNavySisterWorld War IIService (business)First world warCoast guard
DOInot available

Abstract

fetched live from OpenAlex

HMCS Prince Robert was one of three identical ships used as armed merchant cruisers (AMCs) by the Royal Canadian Navy (RCN) during the Second World War. On the eve of war, Canada had but six modern destroyers, with no prospect of additional ships for some time. To fill the desperate need for escorts, the Naval Service clutched at Prince Robert and her two sister liners as an expedient in a time of crisis; yet, by war’s end she would be one of the most sophisticated ships of the RCN. Much like the citizen sailors who mannered her, she signed up for the duration, saw service worldwide, and returned to civilian life much changed by the experience of war.\nThe career of the Prince Robert shows quite effectively the changing roles of the AMC during the Second World War and the vital niche that these ships filled. This account of the Prince Robert has three main objectives: to detail the genesis of the AMC in its Canadian context; to explain the roles and missions that AMCs were expected to fulfil; and, to show how the Prince Robert, as an example of her class, fulfilled them. Further, the story of the Prince Robert’s war service, in Canadian waters and abroad, sheds light on the policies of the Naval Service, how the RCN handled the technical challenges of the widening war, and how it cooperated with allied navies. For the Prince Robert was unique among RCN ships: after her initial conversion, she was radically refitted twice; her mission changed totally in the middle of the war; and she was the most travelled of any RCN vessel. If for no other reason, these facts make her noteworthy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.112
Threshold uncertainty score0.226

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0240.006
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0180.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.243
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2012
Admission routes2
Has abstractyes

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